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pollfly
2024-03-07 15:14:11 +02:00
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docs/pipelines/pipelines.md
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@@ -47,8 +47,8 @@ the pipeline via the ClearML Web UI. See [Pipeline Runs](#pipeline-runs).
## Pipeline Features
### Artifacts and Metrics
Each pipeline step can log additional artifacts and metrics on the step task with the usual flows (TB, Matplotlib, or with
[ClearML Logger](../fundamentals/logger.md)). To get the instance of the step's Task during runtime, use the class method
[Task.current_task](../references/sdk/task.md#taskcurrent_task).
[ClearML Logger](../fundamentals/logger.md)). To get the instance of the step's Task during runtime, use the
[`Task.current_task()`](../references/sdk/task.md#taskcurrent_task) class method.
Additionally, pipeline steps can directly report metrics or upload artifacts / models to the pipeline using these
PipelineController and PipelineDecorator class methods: `get_logger`, `upload_model`, `upload_artifact`.